8 citations · 27 across the 10 of their papers we have counts for
10 papers
Multi-Scale Representation Learning for Image Restoration with State-Space Model
Yuhong He, Long Peng, Qiaosi Yi +2
Image restoration endeavors to reconstruct a high-quality, detail-rich image from a degraded counterpart, which is a pivotal process in photography and various computer vision syst…
Textual Prompt Guided Image Restoration
Qiuhai Yan, Aiwen Jiang, Kang Chen +3
Image restoration has always been a cutting-edge topic in the academic and industrial fields of computer vision. Since degradation signals are often random and diverse, "all-in-one…
Reducing Capacity Gap in Knowledge Distillation with Review Mechanism for Crowd Counting
Yunxin Liu, Qiaosi Yi, Jinshan Zeng
The lightweight crowd counting models, in particular knowledge distillation (KD) based models, have attracted rising attention in recent years due to their superiority on computati…
Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation
Juncheng Li, Hanhui Yang, Qiaosi Yi +4
Single image denoising (SID) has achieved significant breakthroughs with the development of deep learning. However, the proposed methods are often accompanied by plenty of paramete…
Contrastive Learning for Local and Global Learning MRI Reconstruction
Qiaosi Yi, Jinhao Liu, Le Hu +2
Magnetic Resonance Imaging (MRI) is an important medical imaging modality, while it requires a long acquisition time. To reduce the acquisition time, various methods have been prop…
Structure-Preserving Deraining with Residue Channel Prior Guidance
Qiaosi Yi, Juncheng Li, Qinyan Dai +3
Single image deraining is important for many high-level computer vision tasks since the rain streaks can severely degrade the visibility of images, thereby affecting the recognitio…
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation
Qinyan Dai, Juncheng Li, Qiaosi Yi +2
Under stereo settings, the problem of image super-resolution (SR) and disparity estimation are interrelated that the result of each problem could help to solve the other. The effec…
Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing
Qiaosi Yi, Juncheng Li, Faming Fang +2
Single image dehazing is a challenging ill-posed problem that has drawn significant attention in the last few years. Recently, convolutional neural networks have achieved great suc…
Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background
Qiaosi Yi, Yunxing Liu, Aiwen Jiang +3
Crowd counting is an important task that shown great application value in public safety-related fields, which has attracted increasing attention in recent years. In the current res…
Disentangle Perceptual Learning through Online Contrastive Learning
Kangfu Mei, Yao Lu, Qiaosi Yi +3
Pursuing realistic results according to human visual perception is the central concern in the image transformation tasks. Perceptual learning approaches like perceptual loss are em…